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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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molecular analyses to reveal how wood pasture systems influence trophic interactions. The student will gain significant expertise in field sampling, species identification and advanced molecular analysis
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There have been 281 million cases of COVID-19 since the start of the pandemic in Europe alone. Even before this the global burden of disease included respiratory infectious diseases amongst the top ten world-wide sources of mortality. Diagnosis of respiratory tract infections is challenging...
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This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to
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Porous construction materials, such as concrete, brick, or wood, are widely utilised in built environments due to their structural strength, durability, and thermal mass. However, their
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply please contact the supervisor, Dr Jane Wood - jane.wood-2
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wetlands – namely salt marshes, seagrass meadows, and mangrove forests – are hotspots for biodiversity, vital for human wellbeing1. Long-term losses in their extent due to land conversion and climate change
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change and health together. The Centre is partnered with the UK Health Security Agency (UKHSA), the National Trust, Forest Research, and the Met Office amongst others, and the successful applicant will